Transport and deposition processes of the sediment depocenter off the Shandong Peninsula: An observational study

Qi, Fukang; Wu, Xiao; Wang, Zhiwen; Wang, Chenghao; Duan, Haiqin; Li, Meng; Xu, Jingping

doi:10.1016/j.csr.2022.104763

Cited by 5 publications

(5 citation statements)

References 80 publications

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“…The systemic approach to analyzing deposited sediment data obtained from satellite remote sensing imagery offers a comprehensive framework for decision support across various domains. Firstly, in infrastructure design and placement, understanding the patterns of sediment deposition along coastlines aids in identifying areas prone to erosion or sediment buildup (Qi et al, 2022). By factoring in these insights, engineers can design coastal structures and infrastructure to withstand erosion and mitigate sedimentation, ensuring their longevity and effectiveness.…”

Section: The Decision-support Implications and Relevancementioning

confidence: 99%

“…Similarly, Gao et al, (2023) analyzed water, sediment, and deposition characteristics during the initial impoundment period of the Baihetan Reservoir, highlighting the significant impact of sediment deposition on the comprehensive operation of cascade reservoirs in the lower Jinshajiang River, underscoring the necessity for future research integrating climate trend analyses, human activities, and sediment production monitoring for improved understanding and management of sediment dynamics. On this note, Qi et al, (2022); highlighted the sediment dynamics and deposition processes in the distal muddy deposit off the Shandong Peninsula, revealing varying suspended sediment concentrations influenced by hydrodynamic conditions and wind events, with re-suspension and advection playing significant roles. This research contributes to a deeper understanding of synoptic to seasonal variations in sediment transport and accumulation rates in distal mud deposits, and as such, the evident seasonal pattern observed from the above study motivates further research using spatial data from deposited sediment.…”

Section: Introductionmentioning

confidence: 96%

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Pattern Analysis of Periodic Sediment Elevation Data: A Decision Support Framework for Deposited Sediment Management in Coastal Environment

Edike

2024

TECH-GJTDSI

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This research explores sediment deposition patterns in coastal areas by employing synthetic data representing wandering set and recurrent patterns, utilizing Fourier transformation and power-law analysis to characterize frequency content and scaling behavior. The study employs fundamental models to interpret observed patterns and investigates the relevance of Poincaré's theorem in understanding recurrent patterns. Leveraging Python-based computation systems and open-source satellite data, the findings reveal contrasting behaviors in power-law exponents between scenarios, with wandering set patterns exhibiting scale-free characteristics and recurrent patterns displaying structured frequency distributions. This holistic approach advances scientific knowledge on sediment dynamics, informing evidence-based decision-making for effective sediment management and coastal resilience planning. Through its methodology and insights, the research contributes to understanding sediment deposition processes, elucidating underlying mechanisms driving coastal sedimentation, and providing practical approaches for monitoring and studying sediment dynamics in coastal environments, ultimately enhancing strategies for coastal management and conservation.

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Section: The Decision-support Implications and Relevancementioning

confidence: 99%

Section: Introductionmentioning

confidence: 96%

Pattern Analysis of Periodic Sediment Elevation Data: A Decision Support Framework for Deposited Sediment Management in Coastal Environment

Edike

2024

TECH-GJTDSI

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“…Followed the Shepard scheme (Shepard, 1954), the surface sediment in the study area belongs to sandy silt with a mean grain size ranging from 5 to 6 ϕ (Yuan et al, 2020). Moreover, because the mud fraction is more than 10% (Yuan et al, 2020;Qi et al, 2022), the bed sediment may have significant cohesive properties (Bass et al, 2002;Van Rijn, 2007). In the Yellow Sea, the principal tidal constituent is M 2 , followed by S 2 and K 1 (Teague et al, 1998).…”

Section: Study Areamentioning

confidence: 99%

“…These water samples were used to calibrate and convert the observed turbidities into suspended sediment concentrations (SSCs). Detailed processes of data quality assurance/quality control and calibration can be found in Qi et al (2022).…”

Section: Data Collectionmentioning

confidence: 99%

Bottom Drag Variations Under Waves and Currents: A Case Study on a Muddy Deposit off the Shandong Peninsula

Liu

2022

Front. Earth Sci.

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Bottom drag coefficient is one of the key parameters in quantifying shelf hydrodynamics and sediment transport processes. It varies markedly due to dynamic forcing and bed type differences, so a set of empirical values have been used for beds of coarse material where bedforms are often present. In comparison, dramatically fewer such rule-of-thumb values are available for muddy beds. Here, we present results of variations in bottom drag as calculated from in situ measurements by bottom-mounted tripods that were placed across the top of a muddy deposit during two different deployments, one in summer and another in winter. A tidal asymmetry of bottom drag was observed, most likely caused by variations of local bed roughness. For hydrodynamically smooth (Re<2.3×105) flows, computed values of bottom drag coefficient were fairly scattered but still showed an overall decreasing trend with an increase in Reynolds number. The bottom drag coefficient for hydrodynamically rough or transitional flow was typically constant, while the averaged drag coefficient over all observation periods was 1.7×10−3. Smaller waves (bottom orbital velocity ub <0.1 m/s) had a very limited impact on the bottom drag coefficient. However, with an increase in ub, the wave–current interactions can decrease the time-averaged near-bed velocity and enhance turbulent kinetic energy, thus leading to an increase in the drag coefficient.

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“…To understand the mechanism of incipient movement of cohesive sediments, several studies focused on the influence of water content, bulk density, or the strength of the cohesive sediments [15][16][17][18][19]. Several researchers have argued that, besides the bulk density and water content of sediment, the shear strength also plays an important role in determining the critical condition of incipient movement of cohesive sediments [11,[20][21][22][23][24][25][26][27][28][29].…”

Section: Introductionmentioning

confidence: 99%

Experimental Study on the Incipient Movement of Muddy Clay under Different Salinity Conditions

Zhang

Liu

et al. 2022

The Scientific World Journal

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In order to understand the incipient movement of muddy clay under different salinity conditions, three series of flume tests were performed on incipient movement of muddy clay, including tests on incipient movement of salt-free clay mud under salt water conditions (salt water-salt-free clay mud), incipient movement of salt clay mud under salt water conditions (salt water-salt clay mud), and incipient movement of salt clay mud under freshwater conditions (freshwater-salt clay mud), using a circulating flume, in which the salinity of the water body or cohesive sediment varies from 0 to 40%. Based on the particle image velocimetry system and digital image gray processing technology, the gray curves of water near the clay mud bed surface with the velocity were plotted to quantitatively differentiate the incipient velocity of the sediment for each test. The experimental results showed that the higher the salinity of the water body or cohesive sediments is, the more difficult it is to start moving. There is a logarithmic relationship between the incipient velocity of cohesive sediments and the salinity of the water or cohesive sediments. The incipient velocity increases sharply at a salinity of 0∼10% and slowly at a salinity of 10∼40%. At the same salinity, the incipient velocity of salt clay mud under freshwater conditions is the largest, followed by that of salt clay mud under salt water conditions, while that of salt-free clay mud under salt water conditions is the smallest. In addition, the flow turbulence characteristics were analyzed under the critical conditions of the onset of muddy clay. Ultimately, an empirical formula to calculate the critical incipient velocity of muddy clay is proposed by introducing the salinity. In this study, salinity is included as a reference variable, which expands the research scope of sediment initiation and provides a reference for the study of estuary dynamics.

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Transport and deposition processes of the sediment depocenter off the Shandong Peninsula: An observational study

Cited by 5 publications

References 80 publications

Pattern Analysis of Periodic Sediment Elevation Data: A Decision Support Framework for Deposited Sediment Management in Coastal Environment

Pattern Analysis of Periodic Sediment Elevation Data: A Decision Support Framework for Deposited Sediment Management in Coastal Environment

Bottom Drag Variations Under Waves and Currents: A Case Study on a Muddy Deposit off the Shandong Peninsula

Experimental Study on the Incipient Movement of Muddy Clay under Different Salinity Conditions

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